{"id":"W1548801748","doi":"10.24908/ss.v9i1/2.4108","title":"Playing with surveillance: The design of a mock RFID-based identification infrastructure for public engagement","year":2011,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Radio-frequency identification; Identification (biology); Computer security; Citizenship; Fidelity; Computer science; Globe; Legislature; Telecommunications; Political science; Law; Politics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002983984,0.0009706213,0.0003605433,0.0008211682,0.002208874,0.004815947,0.003267081,0.002861614,0.004908004],"category_scores_gemma":[0.007642694,0.0007989103,0.0006753088,0.0003394677,0.005712376,0.004268772,0.005806376,0.001352799,0.00111201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00231999,"about_ca_system_score_gemma":0.002030058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002456103,"about_ca_topic_score_gemma":0.002037965,"domain_scores_codex":[0.9948749,0.003062265,0.0002064117,0.0004792818,0.0007968883,0.0005802917],"domain_scores_gemma":[0.996985,0.001241591,0.0002272277,0.000550143,0.0003979387,0.0005980417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002125676,0.002157344,0.02140324,0.002607972,0.000170607,0.01036161,0.18295,0.08537619,0.1909411,0.2705985,0.01130206,0.2200058],"study_design_scores_gemma":[0.0004672929,0.007003917,0.01375718,0.001571893,0.0003951677,0.007365258,0.1012496,0.2214891,0.1121358,0.05407405,0.4797783,0.0007125243],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4882862,0.0004021939,0.4415665,0.002269005,0.0002838369,0.00270278,0.0001588712,0.002025223,0.06230544],"genre_scores_gemma":[0.8318823,0.0002017742,0.1558721,0.0002893426,0.00001494005,0.0008073897,0.0001093643,0.0001588705,0.0106639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9977911,"threshold_uncertainty_score":0.01683277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06993493754054689,"score_gpt":0.2910675313549934,"score_spread":0.2211325938144465,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}